Sentinel-6: Potential for Ocean Swell Detection

Effect of onboard data compression on geophysical parameter retrieval, a data driven analysis

Master Thesis (2023)
Authors

Lorenza Mottinelli (TU Delft - Aerospace Engineering)

Supervisors

EJO Schrama (TU Delft - Astrodynamics & Space Missions)

Faculty
Aerospace Engineering, Aerospace Engineering
Copyright
© 2023 Lorenza Mottinelli
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 Lorenza Mottinelli
Graduation Date
09-06-2023
Awarding Institution
Delft University of Technology
Programme
Aerospace Engineering
Faculty
Aerospace Engineering, Aerospace Engineering
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Understanding the role of ocean swell, monitoring and modelling it is critical for a diverse range of oceanographic research, coastal management initiatives and for better weather forecasting and climate modelling.
Currently, swell measurements are obtained through in-situ measurements, wave models, and satellite measurements. So far, swell wave parameters have been retrieved from orbit using optical instruments, imaging radars and wave spectrometers. The potential to retrieve swell wave spectra from radar altimeters was recently demonstrated using fully focused synthetic aperture radar (FFSAR) signal processing.
Sentinel-6 (S6) would be a good candidate for investigating the potential of swell parameter retrieval, however, no study has been performed regarding the impact that the on- board data compression/ waveform truncation mode of S6 could have on the retrieval of swell parameters. Swell wave period estimates were thus derived from the raw and compressed S6 FFSAR waveforms collected over a study area in the Channel Islands of California during a 22 month- period. A performance analysis was carried out comparing the period estimate pairs from a given timestamp with the records obtained by a buoy in the study area at the same time.
The study demonstrated the presence of differences in the performance of swell period retrieval for the different operating modes of S6. It was found that swell period estimates can be derived also from the compressed waveform signal, obtaining however a lower accuracy compared to raw waveforms.

Files

Thesis_MSc_Lorenza_Mottinelli.... (pdf)
(pdf | 27.8 Mb)
- Embargo expired in 09-06-2024
License info not available